Job Description

Company Description

Google Us — We Win — ChiefAIOfficer.com enables growth-stage companies to lead in the AI revolution by providing practical, business-first strategies tailored to their needs. Focused on companies with 50 to 500 employees and $10M to $500M revenue, ChiefAIOfficer.com offers solutions like the flagship 1-Day Executive AI Immersion program. This hands-on experience empowers executives to adopt AI confidently, improve productivity, streamline operations, and enhance market positioning. Serving SMBs, private equity-backed firms, and mid-market enterprises, the company is known for delivering actionable executive enablement rather than theoretical training. Only 12 companies are selected for the program each month, ensuring efficiency and impactful results.

Role Description

This is a full-time hybrid role based in the San Francisco Bay Area, with flexibility for some remote work. As an AI Management Consultant at ChiefAIOfficer.com, your day-to-day responsibilities will include providing strategic consulting to clients, analyzing business processes, and developing actionable AI-focused solutions tailored to growth-stage companies. You will collaborate closely with executives to create value through AI adoption, improve operational processes, and drive measurable business outcomes.

Qualifications

• Proficiency in Management Consulting and Consulting, with the ability to address diverse business challenges and recommend effective AI-driven strategies.
• Strong Analytical Skills and expertise in evaluating business data to identify opportunities for operational improvements and market leadership.
• Knowledge of Finance and Business Process optimization to analyze client needs and create practical, result-focused solutions.
• Excellent communication and interpersonal skills to collaborate with executive teams and present complex concepts in a clear, actionable manner.
• Experience with AI applications in business and familiarity with growth-stage or mid-market companies is a plus.
• Bachelor’s or master’s degree in Business, Finance, Data Science, or a related field is preferred.

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